End of training
Browse files- README.md +16 -4
- all_results.json +16 -0
- eval_results.json +10 -0
- train_results.json +9 -0
- trainer_state.json +589 -0
README.md
CHANGED
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library_name: transformers
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: opt-babylm2-rewritten-clean-spacy-32k-earlystop-40epochs_seed-42_3e-4
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-
results:
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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@@ -14,10 +26,10 @@ should probably proofread and complete it, then remove this comment. -->
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# opt-babylm2-rewritten-clean-spacy-32k-earlystop-40epochs_seed-42_3e-4
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-
This model was trained from scratch on
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It achieves the following results on the evaluation set:
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- Loss: 2.
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- Accuracy: 0.
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## Model description
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library_name: transformers
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tags:
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- generated_from_trainer
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+
datasets:
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- kanishka/babylm2-rewritten-clean-spacy
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metrics:
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- accuracy
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model-index:
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- name: opt-babylm2-rewritten-clean-spacy-32k-earlystop-40epochs_seed-42_3e-4
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results:
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- task:
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name: Causal Language Modeling
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type: text-generation
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dataset:
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name: kanishka/babylm2-rewritten-clean-spacy
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type: kanishka/babylm2-rewritten-clean-spacy
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.4202126468521879
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# opt-babylm2-rewritten-clean-spacy-32k-earlystop-40epochs_seed-42_3e-4
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+
This model was trained from scratch on the kanishka/babylm2-rewritten-clean-spacy dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.9892
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- Accuracy: 0.4202
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## Model description
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all_results.json
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{
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"epoch": 24.0,
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"eval_accuracy": 0.4202126468521879,
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"eval_loss": 2.989222764968872,
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"eval_runtime": 111.6132,
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"eval_samples": 52190,
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"eval_samples_per_second": 467.597,
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"eval_steps_per_second": 7.311,
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"perplexity": 19.870232647372227,
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"total_flos": 1.550560221462528e+18,
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"train_loss": 3.0875192876465034,
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"train_runtime": 49059.1729,
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"train_samples": 494517,
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"train_samples_per_second": 403.2,
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"train_steps_per_second": 1.574
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}
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eval_results.json
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{
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"epoch": 24.0,
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"eval_accuracy": 0.4202126468521879,
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"eval_loss": 2.989222764968872,
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"eval_runtime": 111.6132,
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"eval_samples": 52190,
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"eval_samples_per_second": 467.597,
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"eval_steps_per_second": 7.311,
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"perplexity": 19.870232647372227
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}
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train_results.json
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{
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"epoch": 24.0,
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"total_flos": 1.550560221462528e+18,
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"train_loss": 3.0875192876465034,
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"train_runtime": 49059.1729,
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"train_samples": 494517,
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"train_samples_per_second": 403.2,
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"train_steps_per_second": 1.574
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}
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trainer_state.json
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